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This book describes the analysis and design of event-driven processing circuits in the mixed-signal domain, which aim to directly reduce the amount of system data when sampling the data. By investigating event-driven sensing techniques, that adaptively adjust the sampling rate based on the signal activity of time-sparse signals such as the ECG or action potentials, the circuit techniques described in the book aim to minimize the power consumption of the sensing device as well as the transmission power. This optimization is explored in the book by investigating event-driven level-crossing ADCs (LCADCs). Readers will gain a system-level understanding of chip design for biomedical wearables, learn which parts of the system are the most important and how the different building blocks of a system interact.
List of contents
Introduction.- Literature Review.- Performance Evaluation of Level-Crossing ADCs.- A 10.4-ENOB Level-Crossing ADC with Adaptive Clocking Strategy.- FREYA: an Event-Driven SoC for Spiking End-to-End Classification.-Conclusions and Future Work.
About the author
Jonah Van Assche received the M.Sc. degrees in nanotechnology from Katholieke Universiteit Leuven (KU Leuven), Leuven, Belgium and from Kungliga Tekniska högskolan Stockholm (KTH Stockholm), Stockholm, Sweden, in 2018. From 2018 to 2024, he was a researcher in the MICAS research group at KU Leuven, under the supervision of Prof. Georges Gielen. Currently, he is a post-doctoral researcher at Institute of Smart Sensors at the University of Stuttgart in Germany. His research interests include mixed-signal circuits for sensor readout,signal processing and high-speed photonic interfaces.
Georges G.E Gielen (Fellow, IEEE) received the MSc and PhD degrees in Electrical Engineering from the Katholieke Universiteit Leuven (KU Leuven), Belgium, in 1986 and 1990, respectively. He currently is Full Professor in the MICAS research division at the Department of Electrical Engineering (ESAT) at KU Leuven. Since 2020 he is Chair of the Department of Electrical Engineering. His research interests are in the design of analog and mixed-signal integrated circuits, and especially in analog and mixed-signal CAD tools and design automation. He is a frequently invited speaker/lecturer and coordinator/partner of several (industrial) research projects in this area, including several European projects. He has (co-)authored 10 books and more than 600 papers in edited books, international journals and conference proceedings. He is a 1997 Laureate of the Belgian Royal Academy of Sciences, Literature and Arts in the discipline of Engineering. He is Fellow of the IEEE since 2002, and received the IEEE CAS Mac Van Valkenburg award in 2015 and the IEEE CAS Charles Desoer award in 2020. He is an elected member of the Academia Europaea.
Summary
This book describes the analysis and design of event-driven processing circuits in the mixed-signal domain, which aim to directly reduce the amount of system data when sampling the data. By investigating event-driven sensing techniques, that adaptively adjust the sampling rate based on the signal activity of time-sparse signals such as the ECG or action potentials, the circuit techniques described in the book aim to minimize the power consumption of the sensing device as well as the transmission power. This optimization is explored in the book by investigating event-driven level-crossing ADCs (LCADCs). Readers will gain a system-level understanding of chip design for biomedical wearables, learn which parts of the system are the most important and how the different building blocks of a system interact.
